coef.gnls                package:nlme                R Documentation

_E_x_t_r_a_c_t _g_n_l_s _C_o_e_f_f_i_c_i_e_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The estimated coefficients for the nonlinear model represented by
     'object' are extracted.

_U_s_a_g_e:

     ## S3 method for class 'gnls':
     coef(object, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'gnls', representing a
          generalized nonlinear least squares fitted model.

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     a vector with the estimated coefficients for the nonlinear model
     represented by 'object'.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'gnls'

_E_x_a_m_p_l_e_s:

     data(Soybean)
     fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
                 weights = varPower())
     coef(fm1)

